Data Evaluation and Design of Experiments
Lecturer: Prof. Dr. Michael Bortz
Workload: 2 SWS per week (4 ECTS credits as a module)
Credit requirements: Passing the coursework tests (exam admission requirement) and the final module exam
Prior knowledge: Advanced Mathematics
| Lecturer | Time | Location | |
|---|---|---|---|
| Lecture | Prof. Dr. Michael Bortz | Tuesday 12:15 - 13:45 | 44-421 |
| Tutorial | Tom Schanne | By arrangement | 44-421 |
Start: Tuesday, April 22, 2025, 12:15–13:45 (introductory session)
Office hours:
Office hours for the lecture and tutorial are available at any time during the lecture period by appointment. Please contact the lecturer or Tom Schanne directly by email.
Notes:
Participation in the e-learning course is recommended. Lecture materials are provided there, and they can be discussed in the forums set up for this purpose. You will also receive further information and tips this way. The course code will be announced in the lecture. All downloads and further information are provided in the OLAT course. Please enroll using the course code announced in the lecture.
Contents:
- Fundamentals of statistics
- Hypothesis testing
- Analysis of variance
- Data analysis
- Correlation analysis
- Principal component analysis (PCA)
- Data-driven modeling
- Linear regression
- Partial least squares
- Nonlinear regression
- Model evaluation and discrimination
- Design of experiments
- Factorial experiments
- Model-based design of experiments
- Independent application of the theory in practical computer exercises
All information provided online - even though it has been carefully checked - is without guarantee. The official information published in the notices at the chair or at the examination office shall apply.